Agent skill

Skill Scout

by jvm-skills in jvm-skills/jvm-skills

Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow.

Apache-2.0Auto-check passedDocuments & Office

Install Skill Scout

skills CLI
$ npx skills add jvm-skills/jvm-skills --skill skill-scout -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jvm-skills/jvm-skills skill-scout --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jvm-skills/jvm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/skill-scout .claude/skills/skill-scout && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-scout
GitHub stars
139
Token cost
~727 tokens
SKILL.md length
286 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
Apache-2.0

At a glance

Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow.

  • Works in 4 steps: Today's date. Use the real current date… → Check the queue. → Launch the Workflow (one batch,… → …
  • The user says run skill-scout
  • SKILL.md covers Steps, Options (pass in args when… and Notes
  • Calls python3

What it does

Skill Scout is an agent skill from jvm-skills/jvm-skills. Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow. Use when the user says "run skill-scout", "continue the skill-scout loop", "scan more conferences", or wants to grow the skill candidate list.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering CSV and tabular files. The licence is Apache-2.0.

When your agent uses it

  • The user says run skill-scout
  • Continue the skill-scout loop
  • Scan more conferences
  • Wants to grow the skill candidate list

Example prompts

  • “run skill-scout”
  • “continue the skill-scout loop”
  • “scan more conferences”
  • “/skill-scout”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Today's date. Use the real current date as YYYY-MM-DD (it stamps the CSVs — never hardcode).
  2. Check the queue.
  3. Launch the Workflow (one batch, self-committing)
  4. On completion, report the delta from the result JSON: found / needs_review / bundles,

What it can do on your machine

Read from SKILL.md and the folder at commit c6d477f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Scout loads about 727 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 286 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~727

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jvm-skills/jvm-skills at commit c6d477f, republished under its Apache-2.0 licence (© jvm-skills). 286 words, ~727 tokens.

Download SKILL.mdSave it as .claude/skills/skill-scout/SKILL.md (or your agent's skills folder).
name
skill-scout
description
Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow. Use when the user says "run skill-scout", "continue the skill-scout loop", "scan more conferences", or wants to grow the skill candidate list.
invocation
user

Run skill-scout

Launch the skill-scout loop over the unscanned conference queue. Full design + pipeline: skill-scout/README.md. Invoking this skill is the explicit opt-in to run the Workflow.

Steps

  1. Today's date. Use the real current date as YYYY-MM-DD (it stamps the CSVs — never hardcode).

  2. Check the queue.

    bash
    python3 skill-scout/harness/queue.py | python3 -c "import json,sys; d=json.load(sys.stdin); print(len(d['confs']),'unscanned'); [print(' ',c['slug']) for c in d['confs'][:30]]"

    If 0 unscanned: the queue is empty — tell the user to append fresh JVM/Kotlin conferences (2024–26) to skill-scout/db/conferences.csv, or stop. Do not fabricate conferences.

  3. Launch the Workflow (one batch, self-committing):

    Workflow({
      scriptPath: "skill-scout/harness/overnight.workflow.js",
      args: { limit: 25, today: "<today>", autoCommit: true }
    })
    • limit: 25 covers a full batch (the tested size); pass a smaller limit for a quick run.
    • autoCommit: true makes ONE scoped commit at the end (only skill-scout/db, candidates.md, review.html, rules/*.md; aborts if anything else is staged). Omit it if the user wants to review review.html before committing.
    • It runs in the background; a task-notification fires on completion.
  4. On completion, report the delta from the result JSON: found / needs_review / bundles, the per-conf validation (must be PASS), and browserNeeded (confs whose roster needed the agent-browser fallback and may warrant a re-run). Then point the user at skill-scout/review.html — the human reviews it and promotes rows into skills/*.yaml (see top-level CONTRIBUTING.md).

Options (pass in args when asked)

WantArg
Higher-rigor adversarial recheckrecheckModel: "opus" (slower/pricier; delete stale harness/recheck_*.json first — the cache is model-blind)
Dry run (no CSV writes)dryApply: true
Specific conference(s) onlyslugs: ["<slug>", …]
Re-judge from cached scans (no re-scan)evalOnly: [{slug,name,url}, …]

Notes

  • One conference is the unit of work; the db/*.csv files are the state. A relaunch resumes cheaply from the per-conf caches in harness/ (gitignored), so an interrupted run is safe to re-launch.
  • A full-queue run is long (serial GitHub scan, ~15 min/conf) — it's meant to run AFK. Monitor with /workflows; serial phases self-recover from GitHub rate-limiting.

© jvm-skills, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/skill-scout of jvm-skills/jvm-skills.

Open the folder on GitHubat commit c6d477f

Compare with similar skills

Skill Scout next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Scout compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Scout this skilljvm-skills/jvm-skills139—~727Automated safety check: PassApache-2.0
Data Table Managern8n-io/n8n207k—~2.3kAutomated safety check: PassCustom licence
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Abuse Hunternexu-io/harness-engineering-guide664—~1.9kAutomated safety check: PassMIT
Intelligence Requirements BuilderTracecatHQ/tracecat3.8k—~6kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT

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Questions about Skill Scout

What does Skill Scout do?

Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow. Skill Scout is an agent skill from jvm-skills/jvm-skills. Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow.

When should I use Skill Scout?

Skill Scout fits situations like: the user says run skill-scout; continue the skill-scout loop; scan more conferences; wants to grow the skill candidate list.

How do I install Skill Scout in Claude Code?

Run `npx skills add jvm-skills/jvm-skills --skill skill-scout -a claude-code`. Or copy the skill folder (.agents/skills/skill-scout in jvm-skills/jvm-skills) into .claude/skills/skill-scout in your project. Claude Code loads it when a task matches its description.

How do I install Skill Scout in Codex?

Run `npx skills add jvm-skills/jvm-skills --skill skill-scout -a codex`. Or copy the skill folder (.agents/skills/skill-scout in jvm-skills/jvm-skills) into .agents/skills/skill-scout in your project. Codex loads it when a task matches its description.

Can I use Skill Scout in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jvm-skills/jvm-skills --skill skill-scout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-scout, .gemini/skills/skill-scout, .github/skills/skill-scout and .opencode/skills/skill-scout in your project.

What does Skill Scout need to run?

Going by SKILL.md and its folder, Skill Scout needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Skill Scout access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Scout safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Scout use?

Skill Scout is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Scout use?

About 727 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Scout?

Skills that share tags, products or a category with Skill Scout: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Intelligence Requirements Builder (TracecatHQ/tracecat, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Scout?

jvm-skills (a GitHub organization) maintains it in jvm-skills/jvm-skills, which has 139 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on August 31, 2026.

Source: jvm-skills/jvm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.